The University of Southampton
University of Southampton Institutional Repository

Recognition of elementary arm movements using orientation of a tri-axial accelerometer located near the wrist

Recognition of elementary arm movements using orientation of a tri-axial accelerometer located near the wrist
Recognition of elementary arm movements using orientation of a tri-axial accelerometer located near the wrist
In this paper we present a method for recognising three fundamental movements of the human arm (reach and retrieve, lift cup to mouth, rotation of the arm) by determining the orientation of a tri-axial accelerometer located near the wrist. Our objective is to detect the occurrence of such movements performed with the impaired arm of a stroke patient during normal daily activities as a means to assess their rehabilitation. The method relies on accurately mapping transitions of predefined, standard orientations of the accelerometer to corresponding elementary arm movements. To evaluate the technique, kinematic data was collected from four healthy subjects and four stroke patients as they performed a number of activities involved in a representative activity of daily living, 'making-a-cup-of-tea'. Our experimental results show that the proposed method can independently recognise all three of the elementary upper limb movements investigated with accuracies in the range 91–99% for healthy subjects and 70–85% for stroke patients.
0967-3334
1751-1768
Biswas, Dwaipayan
76983b74-d729-4aae-94c3-94d05e9b2ed4
Corda, Daniele
b8cabcc7-492b-4d74-977c-2fa3a781f569
Baldus, Giovanni
6ae37e36-db67-4a4b-8e68-30cb1a74f9be
Cranny, Andy
2ebc2ccb-7d3e-4a6a-91ac-9f089741939e
Maharatna, Koushik
93bef0a2-e011-4622-8c56-5447da4cd5dd
Achner, Josy
1eb12fc1-6d4e-41e6-8e2e-6b7f4fec7daf
Klemke, Jasmin
0c095460-4faf-4d56-bfcc-c04a26e70249
Jöbges, Michael
c249b79d-ca43-46ce-86cb-a97b33a0c3d8
Ortmann, Steffen
dc43ef51-5657-45ed-b634-9a5e3cf6b321
Biswas, Dwaipayan
76983b74-d729-4aae-94c3-94d05e9b2ed4
Corda, Daniele
b8cabcc7-492b-4d74-977c-2fa3a781f569
Baldus, Giovanni
6ae37e36-db67-4a4b-8e68-30cb1a74f9be
Cranny, Andy
2ebc2ccb-7d3e-4a6a-91ac-9f089741939e
Maharatna, Koushik
93bef0a2-e011-4622-8c56-5447da4cd5dd
Achner, Josy
1eb12fc1-6d4e-41e6-8e2e-6b7f4fec7daf
Klemke, Jasmin
0c095460-4faf-4d56-bfcc-c04a26e70249
Jöbges, Michael
c249b79d-ca43-46ce-86cb-a97b33a0c3d8
Ortmann, Steffen
dc43ef51-5657-45ed-b634-9a5e3cf6b321

Biswas, Dwaipayan, Corda, Daniele, Baldus, Giovanni, Cranny, Andy, Maharatna, Koushik, Achner, Josy, Klemke, Jasmin, Jöbges, Michael and Ortmann, Steffen (2014) Recognition of elementary arm movements using orientation of a tri-axial accelerometer located near the wrist. Physiological Measurement, 35 (9), 1751-1768. (doi:10.1088/0967-3334/35/9/1751).

Record type: Article

Abstract

In this paper we present a method for recognising three fundamental movements of the human arm (reach and retrieve, lift cup to mouth, rotation of the arm) by determining the orientation of a tri-axial accelerometer located near the wrist. Our objective is to detect the occurrence of such movements performed with the impaired arm of a stroke patient during normal daily activities as a means to assess their rehabilitation. The method relies on accurately mapping transitions of predefined, standard orientations of the accelerometer to corresponding elementary arm movements. To evaluate the technique, kinematic data was collected from four healthy subjects and four stroke patients as they performed a number of activities involved in a representative activity of daily living, 'making-a-cup-of-tea'. Our experimental results show that the proposed method can independently recognise all three of the elementary upper limb movements investigated with accuracies in the range 91–99% for healthy subjects and 70–85% for stroke patients.

Text
0967-3334_35_9_1751.pdf - Version of Record
Restricted to Repository staff only
Request a copy
Text
IOP Orientation Paper.pdf - Author's Original
Download (497kB)

More information

Published date: 13 August 2014
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 368067
URI: http://eprints.soton.ac.uk/id/eprint/368067
ISSN: 0967-3334
PURE UUID: 86e6a216-36cf-493d-a727-c180dcea9d82

Catalogue record

Date deposited: 20 Aug 2014 10:18
Last modified: 14 Mar 2024 17:41

Export record

Altmetrics

Contributors

Author: Dwaipayan Biswas
Author: Daniele Corda
Author: Giovanni Baldus
Author: Andy Cranny
Author: Koushik Maharatna
Author: Josy Achner
Author: Jasmin Klemke
Author: Michael Jöbges
Author: Steffen Ortmann

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×